Citation Export
DC Field | Value | Language |
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dc.contributor.author | Ahn, Sangho | - |
dc.contributor.author | Kim, Sehyeong | - |
dc.contributor.author | Chae, Jungwoo | - |
dc.contributor.author | Park, Jaehyeong | - |
dc.contributor.author | Kang, Juyoung | - |
dc.date.issued | 2021-01-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36702 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122911068&origin=inward | - |
dc.description.abstract | Use satellite images to check the waterproofing status of buildings on the roof. or to classify buildings that require waterproofing based on applied paint conditions. Through this, the idea of automatically classifying buildings that need rooftop waterproofing work for a wide range of areas is presented, and furthermore, platform services that can be effectively used for local governments or national projects are proposed. | - |
dc.description.sponsorship | This research was supported by the Ministry of Science and ICT, Korea, under the Information Technology Research Center support program (IITP-2021-2018-0-01424). | - |
dc.language.iso | eng | - |
dc.publisher | IEEE Computer Society | - |
dc.subject.mesh | Condition | - |
dc.subject.mesh | Government projects | - |
dc.subject.mesh | Images processing | - |
dc.subject.mesh | Local government | - |
dc.subject.mesh | National programme | - |
dc.subject.mesh | Roof detection | - |
dc.subject.mesh | Satellite images | - |
dc.subject.mesh | Satelllte image processing | - |
dc.subject.mesh | YOLO | - |
dc.title | Automating the Classification of Roof Waterproofing Buildings Using Satellite Images | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2021.10.20. ~ 2021.10.22. | - |
dc.citation.conferenceName | 12th International Conference on Information and Communication Technology Convergence, ICTC 2021 | - |
dc.citation.edition | ICTC 2021 - 12th International Conference on ICT Convergence: Beyond the Pandemic Era with ICT Convergence Innovation | - |
dc.citation.endPage | 311 | - |
dc.citation.startPage | 309 | - |
dc.citation.title | International Conference on ICT Convergence | - |
dc.citation.volume | 2021-October | - |
dc.identifier.bibliographicCitation | International Conference on ICT Convergence, Vol.2021-October, pp.309-311 | - |
dc.identifier.doi | 10.1109/ictc52510.2021.9621168 | - |
dc.identifier.scopusid | 2-s2.0-85122911068 | - |
dc.identifier.url | http://ieeexplore.ieee.org/xpl/conferences.jsp | - |
dc.subject.keyword | computer vision | - |
dc.subject.keyword | object detection | - |
dc.subject.keyword | roof detection | - |
dc.subject.keyword | satelllte image processing | - |
dc.subject.keyword | YOLO | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Information Systems | - |
dc.subject.subarea | Computer Networks and Communications | - |
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